Triple
T20316600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Celeste |
E510395
|
entity |
| Predicate | badgeStarsRepresent |
P29655
|
FINISHED |
| Object | two FIFA World Cups and two Olympic football gold medals |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: two FIFA World Cups and two Olympic football gold medals | Statement: [La Celeste, badgeStarsRepresent, two FIFA World Cups and two Olympic football gold medals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: badgeStarsRepresent Context triple: [La Celeste, badgeStarsRepresent, two FIFA World Cups and two Olympic football gold medals]
-
A.
hasStarOn
Indicates that one entity bears or displays a star symbol positioned on another entity.
-
B.
rankInsigniaStars
Indicates the number or configuration of stars displayed on a rank insignia to denote a specific rank or level.
-
C.
starCount
Indicates the number of stars associated with an entity, typically representing a rating, quality level, or count of starred items.
-
D.
smallStarsRepresent
chosen
Indicates that small stars are used as symbols or markers to stand for or denote something else.
-
E.
flagStarsColor
Indicates that the specified color is the color of the stars on a given flag.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b4c7491c8190961113c4283b10b0 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e67787af188190bc32a3049c9c5b39 |
completed | April 20, 2026, 6:59 p.m. |
| PD | Predicate disambiguation | batch_69e55b21b09081909e46691b6f45a07f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 16, 2026, 11:19 a.m.